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X Demographics
Mendeley readers
Attention Score in Context
Title |
PaCBAM: fast and scalable processing of whole exome and targeted sequencing data
|
---|---|
Published in |
BMC Genomics, December 2019
|
DOI | 10.1186/s12864-019-6386-6 |
Pubmed ID | |
Authors |
Samuel Valentini, Tarcisio Fedrizzi, Francesca Demichelis, Alessandro Romanel |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 50% |
Italy | 1 | 25% |
South Africa | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 43% |
Student > Bachelor | 1 | 14% |
Researcher | 1 | 14% |
Other | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 29% |
Mathematics | 1 | 14% |
Computer Science | 1 | 14% |
Economics, Econometrics and Finance | 1 | 14% |
Medicine and Dentistry | 1 | 14% |
Other | 0 | 0% |
Unknown | 1 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2019.
All research outputs
#13,374,110
of 23,577,761 outputs
Outputs from BMC Genomics
#4,692
of 10,800 outputs
Outputs of similar age
#211,302
of 460,423 outputs
Outputs of similar age from BMC Genomics
#91
of 258 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,800 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 460,423 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.